Skip to main content Accessibility help
×
Hostname: page-component-8448b6f56d-cfpbc Total loading time: 0 Render date: 2024-04-23T11:47:50.858Z Has data issue: false hasContentIssue false

6 - Convective parameterizations

Published online by Cambridge University Press:  05 September 2013

David J. Stensrud
Affiliation:
National Oceanic and Atmospheric Administration, Norman, Oklahoma
Get access

Summary

Introduction

Moist convection comes in many shapes and sizes. For some people, memories of severe thunderstorms with strong and gusty winds, heavy rainfall and lightning probably come to mind when thinking about convection. Sometimes these thunderstorms merge over time and form organized lines of deep convective storms with trailing stratiform rainfall regions. However, others may remember stratocumulus clouds that often form near coastlines when thinking of convection, or the clouds and attendant rainfall that often occur with the passage of a cold front. Of course, all of these examples describe moist convection – widely varying in shape and size, but similar in that the cloud motions generally are vertical and driven by buoyancy forces.

Moist convection is important to the prediction of the atmospheric circulation for a number of reasons. Large-scale horizontal gradients of latent heating produced by deep moist convection help to drive vertical circulations that are large scale, such as the Hadley and Walker cells. Deep convection also is a key component in the El Niño Southern Oscillation (ENSO), which can strongly influence seasonal climate in the northern hemisphere. During ENSO events, the sea surface temperatures in the tropical eastern Pacific are warmer than normal. Deep convection develops in association with this warm surface temperature anomaly, releasing latent heating in a deep atmospheric column and producing upper-level divergence. The upper-level divergence produced by the convection then helps to excite a train of Rossby waves that alter the hemispheric flow patterns (Tribbia 1991).

Type
Chapter
Information
Parameterization Schemes
Keys to Understanding Numerical Weather Prediction Models
, pp. 185 - 259
Publisher: Cambridge University Press
Print publication year: 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Convective parameterizations
  • David J. Stensrud, National Oceanic and Atmospheric Administration, Norman, Oklahoma
  • Book: Parameterization Schemes
  • Online publication: 05 September 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9780511812590.007
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Convective parameterizations
  • David J. Stensrud, National Oceanic and Atmospheric Administration, Norman, Oklahoma
  • Book: Parameterization Schemes
  • Online publication: 05 September 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9780511812590.007
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Convective parameterizations
  • David J. Stensrud, National Oceanic and Atmospheric Administration, Norman, Oklahoma
  • Book: Parameterization Schemes
  • Online publication: 05 September 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9780511812590.007
Available formats
×